Computer system and method for sentiment-based recommendations of discussion topics in social media

Inactive Publication Date: 2012-07-12
IBM CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0008]The present invention improves the click-through likelihood of users by selecting sample comments from matching discussions that reflect either positive or negative sentiment and, optionally, matches a users sentiment preferences or mood. After creating a rank ordered list of matching discussions (discussion recommendations), the system analyzes the sentiment of each comment in each discussion and assigns a positive or negative sentiment score. Or, optionally the system

Problems solved by technology

Given the number of discussions on those sites, finding int

Method used

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  • Computer system and method for sentiment-based recommendations of discussion topics in social media
  • Computer system and method for sentiment-based recommendations of discussion topics in social media
  • Computer system and method for sentiment-based recommendations of discussion topics in social media

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Example

[0022]Various example systems 100 embodying the present invention are described below with reference to FIGS. 1 and 2.

[0023]FIG. 1 illustrates a computer network or similar digital processing environment in which the present invention may be implemented.

[0024]Client computer(s) / devices 50 and server computer(s) 60 provide processing, storage, and input / output devices executing application programs and the like. Client computer(s) / devices 50 can also be linked through communications network 70 to other computing devices, including other client devices / processes 50 and server computer(s) 60. Communications network 70 can be part of a remote access network, a global network (e.g., the Internet), a worldwide collection of computers, Local area or Wide area networks, and gateways that currently use respective protocols (TCP / IP, Bluetooth, etc.) to communicate with one another. Other electronic device / computer network architectures are suitable.

[0025]FIG. 2 is a diagram of the internal st...

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Abstract

An online discussion recommendation system ranks and presents to users of a social media site discussions of interest preferably calculated through interest-matching. The discussion has many online posts. The system and method determine which post to present to the user as a sample snippet from such discussion using sentiment analysis. The sentiment of the snippet may be most polarized, sentiment matching the user's current mood, typical user sentiment, or others.

Description

CROSS-REFERENCE TO RELATED APPLICATION(S)[0001]This application claims the benefit of U.S. Provisional Application No. 61 / 430,516 filed Jan. 6, 2011 and entitled “System for Sentiment Based Recommendations of Discussion Topics in Social Media”.[0002]The foregoing patent application is incorporated by reference in its entirety.BACKGROUND[0003]Popular social media sites are attracting millions of users who contribute and consume content. A major activity on those sites besides uploading content (such as photos, videos, bookmarks etc.) is to talk about the shared content. Those discussions are typically represented as comments from different users on the content pages of the site. Sometimes, as in the case of discussion forums, only a topic but no content is associated with the discussion.[0004]Given the number of discussions on those sites, finding interesting and relevant discussions to follow is a challenge. Recommendation systems can help users identify discussions that match their...

Claims

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Application Information

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IPC IPC(8): G06F15/16
CPCG06Q50/01G06Q30/0282
Inventor AHN, HYUNG-ILDUGAN, CASEYGEYER, WERNERMILLEN, DAVID R.
Owner IBM CORP
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